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using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C++ or Python is desirable. Excellent verbal and written
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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environmental and ecological data; knowledge of, or interest in, statistical data analysis using programming tools (R, Python, MATLAB, or equivalent); and the ability to work collaboratively in interdisciplinary
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stability (beam break-up). The Grenoble Laboratory of Subatomic Physics and Cosmology (LPSC) ( http://lpsc.in2p3.fr ) is a mixed research unit associating CNRS-IN2P3, Grenoble Alpes University (UGA) and
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, religiosity, trust in local leaders). The candidate will be supervised by Prof. Francesco Ferlenga The successful applicant should have: Proficiency in programming languages (Stata, R, Python, …), excellent
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advanced analytical skills including statistical programming in Python, Stata, R, and/or SAS • Excellent communication and presentation skills • An ability to work both independently and in teams Benefits
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skills in Python and/or R. Experience with Google Earth Engine. Ability to work both independently and collaboratively in an international research team. Ability to write and communicate in English
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability